Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Dissecting Supervised Contrastive Learning
ICML 2021
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation
EMNLP 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
EMNLP 2021
Distantly Supervised Relation Extraction in Federated Settings
EMNLP 2021
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning
EMNLP 2021
Distantly Supervised Transformers For E-Commerce Product QA
NAACL 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
CVPR 2021
Distilling Causal Effect of Data in Class-Incremental Learning
CVPR 2021
Distilling Holistic Knowledge With Graph Neural Networks
ICCV 2021
Distilling Knowledge for Empathy Detection
EMNLP 2021
Distilling Localization for Self-Supervised Representation Learning
AAAI 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
NeurIPS 2021
Distilling Virtual Examples for Long-Tailed Recognition
ICCV 2021
Distilling Word Meaning in Context from Pre-trained Language Models
EMNLP 2021
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
CVPR 2021
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
ICLR 2021
Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition
CVPR 2021
Distributionally Robust Imitation Learning
NeurIPS 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
AISTATS 2021
Distributional Reinforcement Learning via Moment Matching
AAAI 2021
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
ICCV 2021
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization
ICCV 2021
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
CVPR 2021
Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
CVPR 2021
Divergence Optimization for Noisy Universal Domain Adaptation
CVPR 2021